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Your p-value can confirm an effect is real and say nothing about whether it's big enough to matter. Effect size answers that second question, and for a two-group comparison Cohen's d is the standard measure: the mean difference divided by the pooled standard deviation. This guide covers how to calculate and report Cohen's d, why to report it alongside every p-value and confidence interval, and how to interpret it without leaning on the 0.2/0.5/0.8 benchmarks that often don't

Struggling to choose between Violin Plots and Box Plots for your next paper? While Box Plots are the "safe" standard for summary stats, they can hide crucial biological data like bimodal populations. Violin Plots reveal the full distribution but can be misleading with small sample sizes (n<10). Our Ultimate Guide breaks down the exact protocols for pre-clinical research: learn when to use which, how to handle "dinosaur" reviewers, and why "Swarm Plots" might actually be your